Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/20497
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dc.contributor.authorPhillips, William-
dc.contributor.editorDodig-Crnkovic, G-
dc.contributor.editorGiovagnoli, R-
dc.date.accessioned2014-06-19T23:17:22Z-
dc.date.issued2013-
dc.identifier.urihttp://hdl.handle.net/1893/20497-
dc.description.abstractLife, thought of as adaptively organised complexity, depends upon information and inference, which is nearly always inductive, because the world, though lawful, is far from being wholly predictable. There are several influential theories of probabilistic inference in neural systems, but here I focus on the theory of Coherent Infomax, and its relation to the theory of free energy reduction. Coherent Infomax shows, in principle, how life can be preserved and improved by coordinating many concurrent inferences. It argues that neural systems combine local reliability with flexible, holistic, context-sensitivity. What this perspective contributes to our understanding of neuronal inference is briefly outlined by relating it to cognitive and neurophysiological studies of context-sensitivity and gain-control, psychotic disorganization, theories of the Bayesian brain, and predictive coding. Limitations of the theory and unresolved issues are noted, emphasizing those that may be of interest to philosophers, and including the possibility of major transitions in the evolution of inferential capabilities.en_UK
dc.language.isoen-
dc.publisherSpringer-
dc.relationPhillips W (2013) The coordination of probabilistic inference in neural systems . In: Dodig-Crnkovic G, Giovagnoli R (ed.). Computing Nature: Turing Centenary Perspective. Studies in Applied Philosophy, Epistemology and Rational Ethics, 7, Berlin Heidelberg: Springer, pp. 61-70.-
dc.relation.ispartofseriesStudies in Applied Philosophy, Epistemology and Rational Ethics, 7-
dc.rightsThe publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.-
dc.subjectProbabilistic inferenceen_UK
dc.subjectCoherent Infomaxen_UK
dc.subjectfree energy reductionen_UK
dc.titleThe coordination of probabilistic inference in neural systemsen_UK
dc.typePart of book or chapter of booken_UK
dc.rights.embargodate2999-12-31T00:00:00Z-
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-37225-4_3-
dc.citation.issn2192-6255-
dc.citation.volume7-
dc.citation.spage61-
dc.citation.epage70-
dc.citation.publicationstatusPublished-
dc.citation.peerreviewedRefereed-
dc.type.statusBook Chapter: author post-print (pre-copy editing)-
dc.identifier.urlhttp://link.springer.com/chapter/10.1007%2F978-3-642-37225-4_3-
dc.author.emailw.a.phillips@stir.ac.uk-
dc.citation.btitleComputing Nature: Turing Centenary Perspective-
dc.citation.isbn978-3-642-37224-7-
dc.publisher.addressBerlin Heidelberg-
dc.contributor.affiliationPsychology-
dc.rights.embargoterms2999-12-31-
dc.rights.embargoliftdate2999-12-31-
Appears in Collections:Psychology Book Chapters and Sections

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